{"id":"W2121745450","doi":"10.1016/j.molonc.2008.07.004","title":"Biobanking for better healthcare","year":2008,"lang":"en","type":"review","venue":"Molecular Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":284,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome Canada","funders":"","keywords":"Biobank; Cancer; Curran; Translational research; Medicine; Health care; Family medicine; Library science; Internal medicine; Political science; Bioinformatics; Pathology; Biology; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001103964,0.0004404879,0.001157813,0.0001149925,0.0001154931,0.0000195064,0.0003960319,0.00101337,0.000008270117],"category_scores_gemma":[0.0001344378,0.0004365871,0.0008059482,0.0001081671,0.0001037374,9.351809e-7,0.0002274658,0.0002370765,0.00002703024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001756467,"about_ca_system_score_gemma":0.001245225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002145582,"about_ca_topic_score_gemma":0.0000465499,"domain_scores_codex":[0.9979951,0.00013353,0.0005281924,0.0007372783,0.00009893404,0.0005068995],"domain_scores_gemma":[0.9987166,0.00008119269,0.0003206517,0.0006240088,0.0001172042,0.0001403285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001733449,0.00005175577,0.000001778815,0.001722916,0.0002016497,0.00007963333,0.000009153239,0.0000022095,0.0002282814,0.0002565887,0.01728347,0.9801452],"study_design_scores_gemma":[0.000374777,0.0007427703,3.27587e-7,0.0003630873,0.000213914,0.0002918633,0.000002589439,0.000001414139,0.0002450808,0.0001022958,0.9972204,0.0004415027],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003731893,0.9936042,0.003434404,0.0002803697,0.0007168739,0.001121982,0.0002757453,0.00001524171,0.0005137958],"genre_scores_gemma":[0.00001788212,0.9904808,0.003497626,0.002306089,0.0009231385,0.0006097275,0.001898194,0.0001368159,0.0001297098],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9799369,"threshold_uncertainty_score":0.9998086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996312241057338,"score_gpt":0.3698264226579928,"score_spread":0.3298633002474194,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}